{"id":3356,"date":"2020-07-04T14:41:07","date_gmt":"2020-07-04T19:41:07","guid":{"rendered":"https:\/\/www.dataknow.io\/?p=3356"},"modified":"2024-11-15T12:42:10","modified_gmt":"2024-11-15T17:42:10","slug":"5-uses-of-data-analysis-techniques-in-manufacturing","status":"publish","type":"post","link":"https:\/\/dataknow.io\/en\/5-uses-of-data-analysis-techniques-in-manufacturing\/","title":{"rendered":"5 uses of data analysis techniques in manufacturing"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"3356\" class=\"elementor elementor-3356\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-59dbec9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"59dbec9\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c367b11 ot-flex-column-vertical\" data-id=\"c367b11\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6937517 elementor-widget elementor-widget-heading\" data-id=\"6937517\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.17.0 - 08-11-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h4 class=\"elementor-heading-title elementor-size-default\">Por Linda Casta\u00f1o, Cient\u00edfica de Datos en DataKnow<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-94f4a61 elementor-widget elementor-widget-text-editor\" data-id=\"94f4a61\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.17.0 - 08-11-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p class=\"zw-paragraph heading6347087\" data-header=\"6347087\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;}\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-hd-info=\"6347087\" data-doc-id=\"5385441000000016001\" data-doc-type=\"writer\">The manufacturing industry is constantly changing to remain at the forefront and be competitive. In today&#8217;s digital age, customers, suppliers and business partners require greater agility on the part of manufacturers, and this is precisely what explains the growing number of companies in the manufacturing industry that are setting their sights on the use of Data Science techniques<span style=\"letter-spacing: -0.2px;\">\u00a0<\/span><\/p><p class=\"zw-paragraph heading6347087\" data-header=\"6347087\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;}\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-hd-info=\"6347087\"><strong>Trends in the industry move like this:<\/strong><\/p><ul data-list-id=\"9\" data-list-format=\"{&quot;level5&quot;:{&quot;paraFormat&quot;:{&quot;ti&quot;:&quot;-0.25in&quot;,&quot;tps&quot;:[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;3.0in&quot;}],&quot;pl&quot;:&quot;0.25in&quot;,&quot;ml&quot;:&quot;2.75in&quot;,&quot;textFormat&quot;:{&quot;ff&quot;:&quot;Symbol&quot;,&quot;size&quot;:10}},&quot;c&quot;:&quot;\uf0b7&quot;,&quot;type&quot;:8,&quot;ltype&quot;:23,&quot;startsWith&quot;:1},&quot;level4&quot;:{&quot;paraFormat&quot;:{&quot;ti&quot;:&quot;-0.25in&quot;,&quot;tps&quot;:[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;2.5in&quot;}],&quot;pl&quot;:&quot;0.25in&quot;,&quot;ml&quot;:&quot;2.25in&quot;,&quot;textFormat&quot;:{&quot;ff&quot;:&quot;Symbol&quot;,&quot;size&quot;:10}},&quot;c&quot;:&quot;\uf0b7&quot;,&quot;type&quot;:7,&quot;ltype&quot;:23,&quot;startsWith&quot;:1},&quot;level7&quot;:{&quot;paraFormat&quot;:{&quot;ti&quot;:&quot;-0.25in&quot;,&quot;tps&quot;:[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;4.0in&quot;}],&quot;pl&quot;:&quot;0.25in&quot;,&quot;ml&quot;:&quot;3.75in&quot;,&quot;textFormat&quot;:{&quot;ff&quot;:&quot;Symbol&quot;,&quot;size&quot;:10}},&quot;c&quot;:&quot;\uf0b7&quot;,&quot;type&quot;:7,&quot;ltype&quot;:23,&quot;startsWith&quot;:1},&quot;level6&quot;:{&quot;paraFormat&quot;:{&quot;ti&quot;:&quot;-0.25in&quot;,&quot;tps&quot;:[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;3.5in&quot;}],&quot;pl&quot;:&quot;0.25in&quot;,&quot;ml&quot;:&quot;3.25in&quot;,&quot;textFormat&quot;:{&quot;ff&quot;:&quot;Symbol&quot;,&quot;size&quot;:10}},&quot;c&quot;:&quot;\uf0b7&quot;,&quot;type&quot;:6,&quot;ltype&quot;:23,&quot;startsWith&quot;:1},&quot;level8&quot;:{&quot;paraFormat&quot;:{&quot;ti&quot;:&quot;-0.25in&quot;,&quot;tps&quot;:[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;4.5in&quot;}],&quot;pl&quot;:&quot;0.25in&quot;,&quot;ml&quot;:&quot;4.25in&quot;,&quot;textFormat&quot;:{&quot;ff&quot;:&quot;Symbol&quot;,&quot;size&quot;:10}},&quot;c&quot;:&quot;\uf0b7&quot;,&quot;type&quot;:8,&quot;ltype&quot;:23,&quot;startsWith&quot;:1},&quot;level1&quot;:{&quot;paraFormat&quot;:{&quot;ti&quot;:&quot;-0.25in&quot;,&quot;tps&quot;:[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;1.0in&quot;}],&quot;pl&quot;:&quot;0.25in&quot;,&quot;ml&quot;:&quot;0.75in&quot;,&quot;textFormat&quot;:{&quot;ff&quot;:&quot;Symbol&quot;,&quot;size&quot;:10}},&quot;c&quot;:&quot;\uf0b7&quot;,&quot;type&quot;:7,&quot;ltype&quot;:23,&quot;startsWith&quot;:1},&quot;level0&quot;:{&quot;paraFormat&quot;:{&quot;ti&quot;:&quot;-0.25in&quot;,&quot;tps&quot;:[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}],&quot;pl&quot;:&quot;0.25in&quot;,&quot;ml&quot;:&quot;0.25in&quot;,&quot;textFormat&quot;:{&quot;ff&quot;:&quot;Symbol&quot;,&quot;size&quot;:10}},&quot;c&quot;:&quot;\uf0b7&quot;,&quot;type&quot;:6,&quot;ltype&quot;:23,&quot;startsWith&quot;:1},&quot;level3&quot;:{&quot;paraFormat&quot;:{&quot;ti&quot;:&quot;-0.25in&quot;,&quot;tps&quot;:[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;2.0in&quot;}],&quot;pl&quot;:&quot;0.25in&quot;,&quot;ml&quot;:&quot;1.75in&quot;,&quot;textFormat&quot;:{&quot;ff&quot;:&quot;Symbol&quot;,&quot;size&quot;:10}},&quot;c&quot;:&quot;\uf0b7&quot;,&quot;type&quot;:6,&quot;ltype&quot;:23,&quot;startsWith&quot;:1},&quot;level2&quot;:{&quot;paraFormat&quot;:{&quot;ti&quot;:&quot;-0.25in&quot;,&quot;tps&quot;:[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;1.5in&quot;}],&quot;pl&quot;:&quot;0.25in&quot;,&quot;ml&quot;:&quot;1.25in&quot;,&quot;textFormat&quot;:{&quot;ff&quot;:&quot;Symbol&quot;,&quot;size&quot;:10}},&quot;c&quot;:&quot;\uf0b7&quot;,&quot;type&quot;:8,&quot;ltype&quot;:23,&quot;startsWith&quot;:1}}\" data-spl-bullet-format=\"{}\"><li><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"9\" data-list-info=\"{&quot;id&quot;:9,&quot;l&quot;:0}\">Collaborative manufacturing systems: Integrated manufacturing systems that allow responding in real time to meet demand and adapt to customer needs.<\/p><\/li><li><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"9\" data-list-info=\"{&quot;id&quot;:9,&quot;l&quot;:0}\">Backbone of Integrated Intelligence: The competitive advantage lies in the use of data and the application of artificial intelligence and machine learning techniques to automate processes, optimize execution time and reduce costs. analysis based on real-time monitoring and predictive algorithms.<span style=\"letter-spacing: -0.2px;\">\u00a0<\/span><\/p><\/li><\/ul><p class=\"zw-paragraph heading6347087\" data-header=\"6347087\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;}\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-hd-info=\"6347087\">Data science is called to dramatically change the manufacturing industry. Let&#8217;s consider these 5 data science use cases in industry that have already become commonplace and have brought benefits to manufacturers.<\/p><p class=\"zw-paragraph heading6347087\" data-header=\"6347087\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;}\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-hd-info=\"6347087\">Predictive analytics: Analysis of current data to forecast certain situations in the future from the present. Let&#8217;s review the possible solutions provided by predictive analysis to the manufacturing industry:<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"10\" data-list-info=\"{&quot;id&quot;:10,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><strong><span class=\"zw-list-char\">1.\u00a0<\/span><!--Zoho writer list char starts ends-->Demand forecasting and inventory management:<\/strong> Two key points that intertwine and for which data analysis is involved to generate reliable models that allow manufacturing companies to plan their production strategy and better control inventory. Demand forecasting and inventory management consider numerous factors both internal and external to companies. This way, you can get a more complex view of your manufacturing business performance and better planning. Dataknow offers the Forecasting service as a dynamic mix between machine learning techniques and time series data with additional variables, which generate personalized forecasts that provide relevant and reliable information to the creation of strategies for process optimization and support business decisions.<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"10\" data-list-info=\"{&quot;id&quot;:10,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><strong><span class=\"zw-list-char\">2.\u00a0<\/span><!--Zoho writer list char starts ends-->Product development:<\/strong> Data analysis offers great opportunities for manufacturing companies regarding product development. Manufacturers capitalize on analysis and results of market segmentation models, to better understand their customers, better sectorize their sales efforts, and develop new products or add capabilities to their products to meet customer needs or demands. Using data science for product development, manufacturers can design a product with higher customer value and minimize the risks associated with introducing a new product to the market. At Dataknow we offer the clustering service that combines data analysis techniques to generate an accurate view of the market and users of our clients.<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"10\" data-list-info=\"{&quot;id&quot;:10,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><strong><span class=\"zw-list-char\">3.\u00a0<\/span><!--Zoho writer list char starts ends-->Failure prediction and preventive maintenance:<\/strong> Both prediction models are intended to predict when a team cannot perform its task based on real time series and usage data. As a result, information can be obtained on how to prevent these failures from occurring or at least reduce their number. The greatest strength of preventive maintenance is planning. With the prediction of future equipment problems close at hand, the manufacturer can schedule equipment idle times to perform cooling or repair work to avoid subsequent delays and significant unplanned failures.<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"10\" data-list-info=\"{&quot;id&quot;:10,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><strong><span class=\"zw-list-char\">4.\u00a0<\/span><!--Zoho writer list char starts ends-->Warranty analysis: <\/strong>Manufacturers prepare each year to meet the costs related to warranty claims on their products. What they have collected for years on warranty claim data is valuable information about product quality and reliability and helps reveal early warnings or product defects.<\/p><p class=\"zw-paragraph\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-margin-bottom=\"8.0pt\"><strong><span class=\"EOP\">\u00a0<\/span><span class=\"zw-list-char\" style=\"letter-spacing: -0.2px;\">5.\u00a0<\/span><\/strong><span style=\"letter-spacing: -0.2px;\"><strong>Price optimization: <\/strong>Price optimization is the process of finding the best possible price for both the manufacturer and the customer, considering numerous factors and criteria of an internal and external nature to the company. For this, optimization models are used that use the data of the company and the market to estimate an optimal price that allows the company to remain competitive and increase its profits efficiently. In highly competitive market conditions and changing customer needs, price optimization becomes a necessity and is a continuous development process within the industry.<\/span><\/p><p class=\"zw-paragraph heading6347087\" data-header=\"6347087\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;}\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-hd-info=\"6347087\">At Dataknow we know the power that data brings, and we offer customized solutions for the manufacturing industry, our forecasting and clustering service offer the following technical and business benefits:<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"11\" data-list-info=\"{&quot;id&quot;:11,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><span class=\"zw-list-char\">1.\u00a0<\/span><!--Zoho writer list char starts ends-->Cloud-based solution with a focus on microservices, supporting scalability and modularity.<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"11\" data-list-info=\"{&quot;id&quot;:11,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><span class=\"zw-list-char\">2.\u00a0<\/span><!--Zoho writer list char starts ends-->Specialized support in forecasting and clustering with personalized business knowledge for your industry.<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"11\" data-list-info=\"{&quot;id&quot;:11,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><span class=\"zw-list-char\">3.\u00a0<\/span><!--Zoho writer list char starts ends-->Technical support in the stability and precision of the models.<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"11\" data-list-info=\"{&quot;id&quot;:11,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><span class=\"zw-list-char\">4.\u00a0<\/span><!--Zoho writer list char starts ends-->Use of State-of-Art methods of time series analysis<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"11\" data-list-info=\"{&quot;id&quot;:11,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><span class=\"zw-list-char\">5.\u00a0<\/span><!--Zoho writer list char starts ends-->Use of multiple methods for profiling and reconciliation by customer value<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"11\" data-list-info=\"{&quot;id&quot;:11,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><span class=\"zw-list-char\">6.\u00a0<\/span><!--Zoho writer list char starts ends-->Optimized classification and segmentation algorithms.<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"11\" data-list-info=\"{&quot;id&quot;:11,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><span class=\"zw-list-char\">7.\u00a0<\/span><!--Zoho writer list char starts ends-->Ready-to-use deployment with integration to the end user BI or management system.<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"11\" data-list-info=\"{&quot;id&quot;:11,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><span class=\"zw-list-char\">8.\u00a0<\/span><!--Zoho writer list char starts ends-->Governance and centralization of the forecasting and clustering process<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"11\" data-list-info=\"{&quot;id&quot;:11,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><span class=\"zw-list-char\">9.\u00a0<\/span><!--Zoho writer list char starts ends-->Optimization of talent and resources in the core business.<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"11\" data-list-info=\"{&quot;id&quot;:11,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><span class=\"zw-list-char\">10.\u00a0<\/span><!--Zoho writer list char starts ends-->Independence from maintaining large-scale forecasts.<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"11\" data-list-info=\"{&quot;id&quot;:11,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><span class=\"zw-list-char\">11.\u00a0<\/span><!--Zoho writer list char starts ends-->Improvement of forecast sources of purchasing and supplier management systems.<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"11\" data-list-info=\"{&quot;id&quot;:11,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><span class=\"zw-list-char\">12.\u00a0<\/span><!--Zoho writer list char starts ends-->Control of irregularities or atypicalities.<\/p><p class=\"zw-list zw-paragraph\" data-tabpoints=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-textformat=\"{&quot;ff&quot;:&quot;Arimo,Arial&quot;,&quot;size&quot;:12}\" data-margin-left=\"0.25in\" data-text-indent=\"-0.25in\" data-padding-left=\"0.25in\" data-margin-bottom=\"14pt\" data-margin-top=\"14pt\" data-tab-info=\"[{&quot;leader&quot;:0,&quot;id&quot;:&quot;0&quot;,&quot;align&quot;:0,&quot;point&quot;:&quot;0.5in&quot;}]\" data-list-id=\"11\" data-list-info=\"{&quot;id&quot;:11,&quot;l&quot;:0}\"><!--Zoho writer list char starts--><span class=\"zw-list-char\">13.\u00a0<\/span><!--Zoho writer list char starts ends-->Historical visibility<span style=\"letter-spacing: -0.2px;\">\u00a0<\/span><\/p><p>What more use cases do you know for the industry? Any specific case?<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Por Linda Casta\u00f1o, Cient\u00edfica de Datos en DataKnow The manufacturing industry is constantly changing to remain at the forefront and be competitive. In today&#8217;s digital age, customers, suppliers and business partners require greater agility on the part of manufacturers, and this is precisely what explains the growing number of companies in the manufacturing industry that [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":11927,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[90],"tags":[460,442,443,461,441,452,451,453,450,444,446,455,449,448,454,459,447,456,457,445,458],"class_list":["post-3356","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industries","tag-artificial-intelligence-in-manufacturing","tag-big-data-2","tag-continuous-improvement","tag-cost-reduction-2","tag-data-analysis","tag-efficient-production","tag-equipment-monitoring","tag-industrial-automation","tag-industrial-digitalization","tag-industry-4-0","tag-inventory-management","tag-manufacturing","tag-manufacturing-quality","tag-operational-efficiency","tag-predictive-maintenance","tag-process-optimization","tag-productivity","tag-quality-control","tag-real-time-analytics","tag-sustainability-in-industry","tag-technology-in-manufacturing"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>5 uses of data analysis techniques in manufacturing - DataKnow<\/title>\n<meta name=\"description\" content=\"The growing number of companies in the manufacturing industry that are setting their sights on the use of Data Science techniques\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dataknow.io\/en\/5-uses-of-data-analysis-techniques-in-manufacturing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"5 uses of data analysis techniques in manufacturing - DataKnow\" \/>\n<meta property=\"og:description\" content=\"The growing number of companies in the manufacturing industry that are setting their sights on the use of Data Science techniques\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dataknow.io\/en\/5-uses-of-data-analysis-techniques-in-manufacturing\/\" \/>\n<meta property=\"og:site_name\" content=\"DataKnow\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/facebook.com\/dataknowsas\/\" \/>\n<meta property=\"article:published_time\" content=\"2020-07-04T19:41:07+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-15T17:42:10+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dataknow.io\/wp-content\/uploads\/2020\/07\/4-analisis-de-datos-fabricacion.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"662\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"DataKnow\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"DataKnow\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/dataknow.io\/en\/5-uses-of-data-analysis-techniques-in-manufacturing\/\",\"url\":\"https:\/\/dataknow.io\/en\/5-uses-of-data-analysis-techniques-in-manufacturing\/\",\"name\":\"5 uses of data analysis techniques in manufacturing - DataKnow\",\"isPartOf\":{\"@id\":\"https:\/\/dataknow.io\/en\/#website\"},\"datePublished\":\"2020-07-04T19:41:07+00:00\",\"dateModified\":\"2024-11-15T17:42:10+00:00\",\"author\":{\"@id\":\"https:\/\/dataknow.io\/en\/#\/schema\/person\/aa3603f1111c66557471efb244a2096c\"},\"description\":\"The growing number of companies in the manufacturing industry that are setting their sights on the use of Data Science techniques\",\"breadcrumb\":{\"@id\":\"https:\/\/dataknow.io\/en\/5-uses-of-data-analysis-techniques-in-manufacturing\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/dataknow.io\/en\/5-uses-of-data-analysis-techniques-in-manufacturing\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/dataknow.io\/en\/5-uses-of-data-analysis-techniques-in-manufacturing\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/dataknow.io\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"5 uses of data analysis techniques in manufacturing\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/dataknow.io\/en\/#website\",\"url\":\"https:\/\/dataknow.io\/en\/\",\"name\":\"DataKnow\",\"description\":\"We believe in the power of data to transform the world.\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/dataknow.io\/en\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/dataknow.io\/en\/#\/schema\/person\/aa3603f1111c66557471efb244a2096c\",\"name\":\"DataKnow\",\"url\":\"https:\/\/dataknow.io\/en\/author\/admin_dataknow_2020\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"5 uses of data analysis techniques in manufacturing - DataKnow","description":"The growing number of companies in the manufacturing industry that are setting their sights on the use of Data Science techniques","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/dataknow.io\/en\/5-uses-of-data-analysis-techniques-in-manufacturing\/","og_locale":"en_US","og_type":"article","og_title":"5 uses of data analysis techniques in manufacturing - DataKnow","og_description":"The growing number of companies in the manufacturing industry that are setting their sights on the use of Data Science techniques","og_url":"https:\/\/dataknow.io\/en\/5-uses-of-data-analysis-techniques-in-manufacturing\/","og_site_name":"DataKnow","article_publisher":"https:\/\/facebook.com\/dataknowsas\/","article_published_time":"2020-07-04T19:41:07+00:00","article_modified_time":"2024-11-15T17:42:10+00:00","og_image":[{"width":1000,"height":662,"url":"https:\/\/dataknow.io\/wp-content\/uploads\/2020\/07\/4-analisis-de-datos-fabricacion.webp","type":"image\/webp"}],"author":"DataKnow","twitter_card":"summary_large_image","twitter_misc":{"Written by":"DataKnow","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/dataknow.io\/en\/5-uses-of-data-analysis-techniques-in-manufacturing\/","url":"https:\/\/dataknow.io\/en\/5-uses-of-data-analysis-techniques-in-manufacturing\/","name":"5 uses of data analysis techniques in manufacturing - DataKnow","isPartOf":{"@id":"https:\/\/dataknow.io\/en\/#website"},"datePublished":"2020-07-04T19:41:07+00:00","dateModified":"2024-11-15T17:42:10+00:00","author":{"@id":"https:\/\/dataknow.io\/en\/#\/schema\/person\/aa3603f1111c66557471efb244a2096c"},"description":"The growing number of companies in the manufacturing industry that are setting their sights on the use of Data Science techniques","breadcrumb":{"@id":"https:\/\/dataknow.io\/en\/5-uses-of-data-analysis-techniques-in-manufacturing\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/dataknow.io\/en\/5-uses-of-data-analysis-techniques-in-manufacturing\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/dataknow.io\/en\/5-uses-of-data-analysis-techniques-in-manufacturing\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/dataknow.io\/"},{"@type":"ListItem","position":2,"name":"5 uses of data analysis techniques in manufacturing"}]},{"@type":"WebSite","@id":"https:\/\/dataknow.io\/en\/#website","url":"https:\/\/dataknow.io\/en\/","name":"DataKnow","description":"We believe in the power of data to transform the world.","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/dataknow.io\/en\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/dataknow.io\/en\/#\/schema\/person\/aa3603f1111c66557471efb244a2096c","name":"DataKnow","url":"https:\/\/dataknow.io\/en\/author\/admin_dataknow_2020\/"}]}},"_links":{"self":[{"href":"https:\/\/dataknow.io\/en\/wp-json\/wp\/v2\/posts\/3356","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dataknow.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dataknow.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dataknow.io\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/dataknow.io\/en\/wp-json\/wp\/v2\/comments?post=3356"}],"version-history":[{"count":0,"href":"https:\/\/dataknow.io\/en\/wp-json\/wp\/v2\/posts\/3356\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dataknow.io\/en\/wp-json\/wp\/v2\/media\/11927"}],"wp:attachment":[{"href":"https:\/\/dataknow.io\/en\/wp-json\/wp\/v2\/media?parent=3356"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dataknow.io\/en\/wp-json\/wp\/v2\/categories?post=3356"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dataknow.io\/en\/wp-json\/wp\/v2\/tags?post=3356"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}